This is the Linux app named Unsupervised Random Forest whose latest release can be downloaded as RF+PAM.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Unsupervised Random Forest
DESCRIPTION
This tool uses Random Forest and PAM to cluster observations and to calculate the dissimilarity between observations. It supports on-line prediction of new observations (no need to retrain); and supports datasets that contain both continuous (e.g. CPU load) and categorical (e.g. VM instance type) features. In particular, we use an unsupervised formulation of the Random Forest algorithm to calculate similarities and provide them as input to a clustering algorithm. For the sake of efficiency and meeting the dynamism requirement of autonomic clouds, our methodology consists of two steps: (i) off-line clustering and (ii) on-line prediction.
RF+PAM can:
Cluster observations (Unsupervised Learning)
Calculate the dissimilarity between 2 or more observations (how different two observations are)
Audience
System Administrators, Developers
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rfpam/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
